A cooperative approach for the diagnosis of the melanoma

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 5144-5147

  Ruiz, D ^a   Berenguer, V J ^a   Soriano, A ^a   Martin, J ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DECISION SUPPORT SYSTEMS; DERMATOLOGY; IMAGE SEGMENTATION; ONCOLOGY;

BAYESIAN RULE; CLASSIFICATION RATES; FINAL DECISION; REGION OF INTEREST;

DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; EPILUMINESCENCE MICROSCOPY; HUMAN; IMAGE ENHANCEMENT; MELANOMA; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKIN TUMOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DERMOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MELANOMA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 61849104073     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650372     Document Type: Conference Paper

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